APPLICATION

Several network systems are built to communicate with one another as well as made available through service-oriented architectures. In this project, the client server architecture is used to develop a chat application. Firstly, a chat application is created for both Client and Server which is based on Transmission Control Protocol (TCP) where TCP is connection oriented protocol and is a reliable connection protocol. As security is the key factor while communicating over a network, so in this project, MySQL SSL protocol and hash function was used for the Database based on a numbers of benefits. The hash values of the real password and the random generated number (salt) is stored in the database. The original password is not stored on the system, making cracking of password much harder

Hydraulic structures such as dams require energy dissipation for their safe operation. Scouring and cavitation are challenges which may arise at the downstream toe of earth dams due to inadequate provision for proper energy dissipation leading to severe damages or total loss of the dam. This study aimed at designing the United States Bureau of Reclamation (USBR) type III basin for energy dissipation downstream of earth dam spillways in Nigeria using Microsoft Excel as computational tool. Microsoft Excel was used in developing the design code governed by a set of algorithms which conformed to USBR standard. The algorithm was used to compute flow data suitable for the formation of hydraulic jump within the USBR type III stilling basin. Various flow conditions with discharges ranging from 10 m3 /s to 110 m3 /s and inflow velocity ranging from 3 m/s to 18 m/s) were simulated at various basin widths ranging from 3 m to 12 m. Acceptable design flows were determined using the Froude numbers that ranged between 4.5 to 9 as the major criterion. The results obtained showed that an increase in velocity led to an increased Froude number for the various basinm widths. At 3 m/s inflow velocity, the mean Fr values were 0.59, 0.85, 1.03 and 1.10 forstilling basins width of 3 m, 6 m, 9 m and 12 m respectively. At 6 m/s the mean Fr valueswere 1.69, 2.38, 2.93 and 3.38. At 9 m/s, mean Fr values were 3.10, 4.34, 5.37 and 6.21. At 12 m/s, the mean Fr values were 4.77, 6.76, 8.82 and 9.47. At 15 m/s, mean Fr values were 6.68, 9.89, 9.89 and 13.36. At 18 m/s mean Fr values were 8.68, 12.42, 15.22 and 17.57. These implied that at increased basin widths, the efficiency of the formation of hydraulic jump improved with higher inflow velocities resulting in shorter basins with more numbers of baffle piers and chute blocks. The results obtained will find relevant application in the preliminary design of the type III stilling basins for earth dams, reservoirs in Nigeria, in accordance with the United States Bureau of Reclamation standard. It will also aid Engineers in the proper control and evacuation of small earth dams while checking erosive effects from the velocity of the evacuated outflow by means of hydraulic jump formation. Furthermore, experimental researches involving physical models are recommended to ascertain more results and facilitate more efficient and economical USBR stillingbasin designs

This study introduces a new distribution known as Marshall-Olkin Lomax-Weibull Distribution, a novel lifetime model that extends the flexibility of an existing Lomax Weibull distribution in reliability analysis and survival studies. The proposed distribution combines the Marshall-Olkin transformation with the Lomax Weibull distributions resulting to an additional scale parameter added to the four parameter Lomax-Weibull Distribution, and enhancing its ability to model diverse hazard rate behaviours, including increasing, decreasing, bathtub, and upside-down bathtub shapes and monotonic and nonmonotonic failure data which could be obtained from complex systems used in diverse scientific fields. Some statistical properties of the proposed lifetime distribution are considered. Parameter estimation of the Marshall-Olkin Lomax-Weibull distribution is obtained using maximum likelihood Estimation. Comparison with other traditional models, applicability and flexibility of the new distribution in lifetime analysis is illustrated with the aid of a real life example. The real world applications demonstrate the superiority of the Marshall-Olkin Lomax Weibull distribution in fitting complex datasets compared to traditional models

This paper demonstrates the use of linear programming methods as applicable in the manufacturing industry. Primary data was used for this study and were collected from the Quality Control of Nadia Bakery Company, Benin City, Nigeria, on the three types of bakery products which includes Family size bread, Sardine bread and Banana bread. Information on profit of the already produced products as well as quantity of each of the raw material held in stock per month for the production of each of the products were available in the records of the company. The analysis was carried out with an optimization software GAMS (General Algebraic Modeling System. Based on the profit of the products, the maximum profit that would accrue to the company given the optimal product mix was determined. The results showed that the company would attain optimal daily profit level of about #309,045 if she concentrates mainly on the unit production of Family sized bread 3.26, Sardine bread 1.89 units, Banana bread of 1.88 units. The research recommends that the company should produce within this optimal mix, review allocations of raw materials as they were many non-binding constraints and employ more resource on the binding constraints to improve the optimal value

This project examines road traffic accident problems in Benin City, Nigeria in an epidemiological approach. The project entails the source of data compiled in a questionnaire, hospital records, FRSC reports and press media data on accident reports. The identification of risk factors, data interpretation of accidents and their general preventive measures are discussed. Accident prediction models are used to predict future occurrences. The Haddon Matrix Analysis was used to model the Pre-crash, Crash and Post-crash phases of accidents. This is done to determine to what extent accident and casualty involvement are related, and so assist policy makers and relevant authorities to explore counter-measures in the allocation of scarce resources in reducing road traffic accidents. The generalized linear regression method (GzLM) was modelled using number of accident outcomes as the dependent variables while the time of the day (T), host (H) and speed (Sp) of the accidents were selected as the independent variables so as to obtain a model equation.

The primary objective of Random Walk Theory is that it suggests the changes in a
particular element e.g. stock price, having the same distribution and are independent of each other. Therefore, it assumes that the past movement or trend of maybe a stock price cannot be used to predict its future movement. Random Walk Theory have crucial point of conversation in ballot theorem, Markov process and gambler’s ruin. Though, various kind of Random Walks are of interest, which can vary in more than one way. The term itself most often refer to an extraordinary class of markov chain. Random Walk theory can actually take place in variety of spaces: usually concentrated ones include graphs, others on the integers or the real line in the plane or higher dimensional vector spaces on curved surfaces. Next we discussed the application of Random Walk Theory in relation to gambler`s ruin, we furthermore look into this and then concluded.

Every organisation aims at profit maximization and growth. Growth and profits are directly related to the level of satisfaction that is imparted by the product or the services to the customers. Customer wants value for money. He wants the best quality in the given cost. So how does an organisations achieve this quality? Quality is a subjective constraint. Every
customer has a different taste of quality. So, it is the job of the organisation to provide everything in terms of quality that every customer demands. So, from where does this quality start? It starts from the moment the manufacturer purchases the raw material from the supplier.
This quality is percolated in the product through right set of processes, activities with the use of right resources in terms of human and technology and ultimately right quality is achieved by reduction in defect in the product. Lesser is the tolerance limit for defect, better is the quality.
This concept drives the organization towards the concept of least deviation in the products that are manufactured. This drives the organisation towards Six-Sigma. Two of the most popular continuous improvement programs are Six Sigma and lean management. Six Sigma was founded by Motorola Corporation and subsequently adopted by many US companies, including General Electrical GE and Allied Signal. Lean management originated at Toyota in Japan and has been implemented by many major US firms, including Danaher Corporation and HarleyDavidson. Six Sigma and lean management have diverse roots, (Arn Heiter and Maley Eff, 2005). management (TQM) and just-in-time (JIT), (Naslund, 2008). Both Six Sigma and lean management have evolved into comprehensive management systems which clarify in lean six sigma methodology. In each case, their effective implementation involves cultural changes in
organizations, new approaches to production and to servicing customers, and a high degree of training and education of employees, from upper management to the shop floor. As such, both systems have come to encompass common features, such as an emphasis on customer
satisfaction, high quality, and comprehensive employee training and empowerment, (Arn Heiter and Maley Eff, 2005). Some elements to eliminate many misconceptions regarding Six Sigma and lean management by describing each system and the key concepts and techniques
that underlie their implementation, (Arn Heiter and Maley Eff, 2005).